ZipRecruiter

Log In

1

Algorithmic Execution Quant Jobs in Sunnyvale, CA

Albertsons

Staff Data Scientist

Pleasanton, CA · On-site

Agentic AI frameworks that augment and automate planning and execution-human-in-the-loop where ... Guide architectures, data science models, machine learning algorithms and engineering best ...

next page

Showing results 1-20

All JobsAlgorithmic Execution Quant JobsAlgorithmic Execution Quant Jobs in Sunnyvale, CA

Algorithmic Execution Quant information

See Sunnyvale, CA salary details

$61.6K

$139.9K

$230.6K

How much do algorithmic execution quant jobs pay per year?

As of Aug 5, 2026, the average yearly pay for algorithmic execution quant in Sunnyvale, CA is $139,859.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,100.00 and $179,000.00 per year, depending on experience, location, and employer.

What is the difference between Algorithmic Execution Quant vs Quantitative Trader?

AspectAlgorithmic Execution QuantQuantitative Trader
Primary FocusDeveloping and implementing algorithms for trade execution to minimize market impactCreating trading strategies to generate alpha and profit from market movements
Work EnvironmentQuantitative research teams, trading desks, technology-drivenTrading floors, portfolio management teams, research departments
Required SkillsProgramming, market microstructure, execution algorithmsQuantitative modeling, market analysis, strategy development

While both roles involve quantitative skills, an Algorithmic Execution Quant specializes in optimizing trade execution processes, whereas a Quantitative Trader focuses on developing strategies to generate profits. The roles often collaborate but serve different functions within trading firms.

What are the key skills and qualifications needed to thrive as an algorithmic execution quant, and why are they important?

To thrive as an Algorithmic Execution Quant, you need a strong background in quantitative analysis, programming (often in Python or C++), and a solid understanding of financial markets, typically supported by an advanced degree in a quantitative discipline. Proficiency with statistical modeling tools, trading platforms, and market data systems, as well as familiarity with technologies like FIX protocol, is crucial. Strong problem-solving ability, attention to detail, and effective communication help you collaborate across trading, research, and technology teams. These skills are essential for designing, optimizing, and maintaining robust trading algorithms that achieve best execution and mitigate risk in fast-moving markets.

What are some common challenges faced by algorithmic execution quants when developing and deploying trading algorithms?

Algorithmic Execution Quants often encounter challenges such as adapting strategies to rapidly changing market conditions, managing latency and slippage, and ensuring compliance with regulatory requirements. They must also balance the need for innovation with the necessity for robust risk controls and system reliability. Collaboration with traders, developers, and risk managers is essential to refine algorithms and ensure they perform optimally in live trading environments.

What does an algorithmic execution quant do?

An Algorithmic Execution Quant is responsible for designing, developing, and optimizing algorithms that execute large financial trades efficiently and at minimal cost. They analyze market microstructure, create models to predict market impact, and work closely with traders and engineers to implement these strategies in real-time trading systems. Their work is essential in minimizing transaction costs and improving trade execution quality for their firm.
What are popular job titles related to Algorithmic Execution Quant jobs in Sunnyvale, CA? For Algorithmic Execution Quant jobs in Sunnyvale, CA, the most frequently searched job titles are:
What job categories do people searching Algorithmic Execution Quant jobs in Sunnyvale, CA look for? The top searched job categories for Algorithmic Execution Quant jobs in Sunnyvale, CA are:
What cities near Sunnyvale, CA are hiring for Algorithmic Execution Quant jobs? Cities near Sunnyvale, CA with the most Algorithmic Execution Quant job openings:
Algorithmic Execution Quant jobs near you

Director, Data Science & Algorithms - CX Product Experiences

Stitch Fix

San Francisco, CA

$274K - $287K/yr

Other

Posted 7 days ago

Stitch Fix rating

6.7

Company rating: 6.7 out of 10

Based on 34 frontline employees who took The Breakroom Quiz

30th of 104 rated fashion retailers

Job description

About the Role

The Client Experience Product Algorithms team is responsible for the machine learning, AI, experimentation, and product analytics capabilities that power personalized experiences for Stitch Fix clients and stylists. Partnering across Product, Engineering, Design, Styling, Marketing, Merchandising, Finance, Enterprise Analytics, Data Platform, and DSN, the team translates data and algorithms into measurable business impact.

As Director, Product Algorithms, you will lead the strategy, execution, and people behind our Growth, Styling, and Fix & Freestyle Algorithms portfolios. You'll define how AI, machine learning, experimentation, and analytics shape the future of personalized shopping while building the operating discipline, technical excellence, and cross-functional alignment needed to deliver scalable business results.

Responsibilities
  • Lead the Product Algorithms portfolio across Growth, Styling, and Fix & Freestyle, setting strategy and driving measurable outcomes across acquisition, engagement, retention, styling quality, Fix, Freestyle, outfitting, and related commerce experiences.
  • Define the vision and roadmap for applying data science, machine learning, AI, experimentation, and product analytics to improve client experiences, stylist effectiveness, and business performance.
  • Drive innovation by identifying, evaluating, and scaling modern AI, machine learning, personalization, and experimentation techniques that create meaningful impact while balancing technical feasibility, execution capacity, and business priorities.
  • Strengthen organizational effectiveness by improving planning, prioritization, experimentation practices, product analytics capabilities, operational readiness, incident management, and cross-functional decision making across the portfolio.
  • Build and develop a high-performing organization of managers and senior individual contributors, fostering technical excellence, strong product leadership, accountability, and collaborative partnerships while representing Product Algorithms with executive stakeholders.
How AI and Tools Show Up in Your Day-to-Day Work
  • Use AI-powered tools (such as ChatGPT, GitHub Copilot, and other emerging technologies) to improve decision making, productivity, communication, and operational efficiency.
  • Leverage experimentation platforms, analytics tools, machine learning infrastructure, and product development systems to guide roadmap decisions and measure business impact.
  • Continuously evaluate and adopt new AI capabilities, technologies, and ways of working that improve team effectiveness and accelerate innovation.
About You

You are a strategic technical leader who combines deep expertise in machine learning and AI with exceptional product thinking, organizational leadership, and business judgment. You thrive in highly collaborative environments, enjoy solving ambiguous problems, and know how to translate emerging technologies into measurable customer and business outcomes.

Requirements
  • Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, Mathematics, or a related quantitative field; advanced degree preferred.
  • 10+ years of experience in data science, machine learning, experimentation, product analytics, AI, or algorithmic product development, including 5+ years leading teams and experience managing managers or senior technical leaders.
  • Demonstrated success defining strategy and delivering production machine learning, AI, personalization, or experimentation capabilities that drive measurable product and business outcomes.
  • Strong technical fluency across modern machine learning, generative AI/LLMs, experimentation methodologies, product analytics, and production algorithmic systems.
  • Experience building cross-functional partnerships with Product, Engineering, Design, Analytics, Data Platform, Marketing, Merchandising, Finance, and executive stakeholders.
  • Exceptional strategic thinking, communication, prioritization, problem-solving, and organizational leadership skills, with the ability to influence across technical and non-technical audiences.
  • Experience using AI tools (such as ChatGPT, GitHub Copilot, or similar technologies) to improve productivity, decision making, collaboration, and the quality of work.
  • This position requires the ability to sit for extended periods of time, use a computer and standard office equipment, and communicate effectively in both written and verbal formats.
Nice to Have
  • Advanced degree (MS or PhD) in Computer Science, Machine Learning, Statistics, Operations Research, Engineering, or a related field.
  • Experience leading AI- or ML-driven consumer products within e-commerce, marketplaces, retail, recommendations, personalization, or digital consumer experiences.
  • Experience building or evolving experimentation platforms, product analytics capabilities, or AI governance and operational excellence practices.
  • Familiarity with large-scale recommendation systems, ranking models, generative AI applications, causal inference, optimization, or reinforcement learning.
  • Experience leading organizations through significant technical transformation, organizational scaling, or AI adoption initiatives.

What Stitch Fix employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply